CARLI, RUGGERO
CARLI, RUGGERO
Dipartimento di Ingegneria dell'Informazione - DEI
A control theoretical approach to online constrained optimization
2025 Casti, U.; Bastianello, N.; Carli, R.; Zampieri, S.
A Distributed MILP-ADMM Framework for Italian Energy Communities: Shared Energy Incentives, Renewables, and Shiftable Loads
2025 Messilem, A. Mohamed; Brumali, Riccardo; Carnevale, Guido; Notarstefano, Giuseppe; Carli, Ruggero
Accelerating Model-Based Reinforcement Learning using Non-Linear Trajectory Optimization
2025 Cali', Marco; Giacomuzzo, Giulio; Carli, Ruggero; Libera, Alberto Dalla
ADMM-Tracking Gradient for Distributed Optimization Over Asynchronous and Unreliable Networks
2025 Carnevale, Guido; Bastianello, Nicola; Notarstefano, Giuseppe; Carli, Ruggero
Continual Learning for Behavior-based Driver Identification
2025 Fanan, Mattia; Dalle Pezze, Davide; Efatinasab, Emad; Carli, Ruggero; Rampazzo, Mirco; Susto, Gian Antonio
Deep Reinforcement Learning for Autonomous Navigation: Sim-to-Real Transfer on TurtleBots
2025 Dal Nevo, M.; Turcato, N.; Sinigaglia, A.; Lorigiola, R.; Casadei, O.; Carli, R.; Cenedese, A.; Susto, G. A.
Distributed Constraint-Coupled Optimization: Harnessing ADMM-consensus for robustness
2025 Messilem, A. Mohamed; Carnevale, Guido; Carli, Ruggero
Edge Delayed Deep Deterministic Policy Gradient: Efficient Continuous Control for Edge Scenarios
2025 Sinigaglia, Alberto; Turcato, Niccolò; Carli, Ruggero; Antonio Susto, Gian
Exploiting Estimation Bias in Clipped Double Q-Learning for Continous Control Reinforcement Learning Tasks
2025 Turcato, N.; Sinigaglia, A.; Dalla Libera, A.; Carli, R.; Susto, G. A.
Finetuning Deep Reinforcement Learning Policies with Evolutionary Strategies for Control of Underactuated Robots
2025 Cal\ì, M.; Sinigaglia, A.; Turcato, N.; Carli, R.; Susto, G. A.
Model-Based Reinforcement Learning for Robust End-to-End UAV Control from Simulation to Real System Application
2025 Mehl, Maximilian; Dalla Libera, Alberto; Carli, Ruggero; Tognon, Marco
On the rate of convergence of distributed relaxed-ADMM algorithms in distributed optimization
2025 Armijos-Bacuilima, Leonardo; Messilem, A. Mohamed; Schenato, Luca; Carli, Ruggero
Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd “AI Olympics with RealAIGym” Competition
2025 Wiebe, F.; Turcato, N.; Dalla Libera, A.; Choe, J. S. B.; Choi, B.; Faust, T.; Maraqten, H.; Jolfaei, E A.; Calì, M.; Sinigaglia, A.; Giacomuzzo, G.; Carli, R.; Romeres, D.; Kim, J.; Susto, G. A.; Vyas, S.; Mronga, D.; Belousov, B.; Peters, J.; Kirchner, F.; Kumar, S.
Towards Autonomous Reinforcement Learning for Real-World Robotic Manipulation With Large Language Models
2025 Turcato, Niccolò; Iovino, Matteo; Synodinos, Aris; Dalla Libera, Alberto; Carli, Ruggero; Falco, Pietro
A Black-Box Physics-Informed Estimator Based on Gaussian Process Regression for Robot Inverse Dynamics Identification
2024 Giacomuzzo, Giulio; Carli, Ruggero; Romeres, Diego; Dalla Libera, Alberto
A Stochastic Operator Framework for Optimization and Learning With Sub-Weibull Errors
2024 Bastianello, N.; Madden, L.; Carli, R.; Dall'Anese, E.
Adaptive Robust Controller for handling Unknown Uncertainty of Robotic Manipulators
2024 Abdelwahab, Mohamed; Giacomuzzo, Giulio; Libera, Alberto Dalla; Carli, Ruggero
Ancillary Service Provision Via Primal-Dual Based Coordination of Distributed Power Electronic Converters in Three-Phase microgrids
2024 Lauri, A.; Caldognetto, T.; Carli, R.; Biadene, D.; Mattavelli, P.
Internal Model-Based Online Optimization
2024 Bastianello, Nicola; Carli, Ruggero; Zampieri, Sandro
Lagrangian Inspired Polynomial Estimator for black-box learning and control of underactuated systems
2024 Giacomuzzo, G.; Cescon, R.; Romeres, D.; Carli, R.; Libera, A. D.